Yang, Jie

Uncovering Language Disparity of ChatGPT on Retinal Vascular Disease Classification: Cross-Sectional Study

Liu, X., Wu, J., Shao, A., Shen, W., Ye, P., Wang, Y., Ye, J., Jin, K., & Yang, J. (2024) · Journal of Medical Internet Research

Artificial Intelligence in Healthcare and EducationRetinal Imaging and Analysis

Cited by 52

Development and Validation of a Deep Learning Model for Detection of Allergic Reactions Using Safety Event Reports Across Hospitals

Yang, J., Wang, L., Phadke, N. A., Wickner, P. G., Mancini, C. M., Blumenthal, K. G., & Zhou, L. (2020) · JAMA Network Open

Pharmacovigilance and Adverse Drug ReactionsMachine Learning in Healthcare

Cited by 42

Large language models leverage external knowledge to extend clinical insight beyond language boundaries

Wu, J., Wu, X., Qiu, Z., Li, M., Lin, S., Zhang, Y., Zheng, Y., Yuan, C., & Yang, J. (2024) · Journal of the American Medical Informatics Association

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 41

Clinical Text Datasets for Medical Artificial Intelligence and Large Language Models — A Systematic Review

Wu, J., Liu, X., Li, M., Li, W., Su, Z., Lin, S., Garay, L., Zhang, Z., Zhang, Y., Zeng, Q., et al. (2024) · NEJM AI

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 41

Mining clinical phrases from nursing notes to discover risk factors of patient deterioration

Korach, Z. T., Yang, J., Rossetti, S. C., Cato, K. D., Kang, M.-J., Knaplund, C., Schnock, K. O., Garcia, J. P., Jia, H., Schwartz, J. M., et al. (2020) · International Journal of Medical Informatics

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 40